Predicting Ewing Sarcoma Treatment Outcome Using Infrared Spectroscopy and Machine Learning

Predicting Ewing Sarcoma Treatment Outcome Using Infrared Spectroscopy and Machine Learning

Background: Improved outcome prediction is vital for the delivery of risk-adjusted, appropriate and effective care to paediatric patients with Ewing sarcoma—the second most common paediatric malignant bone tumour. Fourier transform infrared (FTIR) spectroscopy of tissues allows the bulk bi...

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Bibliographic Details
Main Authors: Radosław Chaber, Christopher J. Arthur, Kornelia Łach, Anna Raciborska, Elżbieta Michalak, Katarzyna Bilska, Katarzyna Drabko, Joanna Depciuch, Ewa Kaznowska, Józef Cebulski
Format: Article
Language:English
Published: MDPI AG 2019-03-01
Series:Molecules
Subjects:
Ewing sarcoma
Fourier transform infrared spectroscopy
FTIR
chemotherapy
bone cancer
Online Access:http://www.mdpi.com/1420-3049/24/6/1075

Internet

http://www.mdpi.com/1420-3049/24/6/1075

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